L. Lourido

719 total citations
34 papers, 555 citations indexed

About

L. Lourido is a scholar working on Rheumatology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, L. Lourido has authored 34 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Rheumatology, 10 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in L. Lourido's work include Osteoarthritis Treatment and Mechanisms (21 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). L. Lourido is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (21 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Protease and Inhibitor Mechanisms (8 papers). L. Lourido collaborates with scholars based in Spain, Sweden and United Kingdom. L. Lourido's co-authors include Francisco J. Blanco, Cristina Ruíz‐Romero, V. Calamia, Patricia Fernández‐Puente, Jesús Mateos, N. Oreiro, Juan Fernández‐Tajes, Beatriz Rocha, Josep Vergés and E. Montell and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Annals of the Rheumatic Diseases.

In The Last Decade

L. Lourido

32 papers receiving 544 citations

Peers

L. Lourido
Akifumi Shibakawa United Kingdom
K.B. Marcu United States
Beverly B. Lavietes United States
Fred Rosen United States
M. Kaneko Japan
Hsin‐I Hung United States
Ken Iwata Japan
Yun Bai United States
L. Lourido
Citations per year, relative to L. Lourido L. Lourido (= 1×) peers Christophe Lesur

Countries citing papers authored by L. Lourido

Since Specialization
Citations

This map shows the geographic impact of L. Lourido's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by L. Lourido with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Lourido more than expected).

Fields of papers citing papers by L. Lourido

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. Lourido. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by L. Lourido. The network helps show where L. Lourido may publish in the future.

Co-authorship network of co-authors of L. Lourido

This figure shows the co-authorship network connecting the top 25 collaborators of L. Lourido. A scholar is included among the top collaborators of L. Lourido based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with L. Lourido. L. Lourido is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hambardzumyan, Karen, Carl Hamsten, L. Lourido, et al.. (2025). Association of matrix metalloproteinase 7 and the alpha-chain of fibrinogen at baseline with response to methotrexate at 3 months in patients with early rheumatoid arthritis. BMC Rheumatology. 9(1). 56–56. 1 indexed citations
2.
Balboa‐Barreiro, Vanesa, L. Lourido, V. Calamia, et al.. (2024). Prognostic model to predict the incidence of radiographic knee osteoarthritis. Annals of the Rheumatic Diseases. 83(5). 661–668. 5 indexed citations
3.
Ruíz‐Romero, Cristina, Patricia Fernández‐Puente, Lucía González, et al.. (2022). Association of the serological status of rheumatoid arthritis patients with two circulating protein biomarkers: A useful tool for precision medicine strategies. Frontiers in Medicine. 9. 963540–963540. 2 indexed citations
4.
Lourido, L., et al.. (2021). Nucleic Acid Programmable Protein Arrays (NAPPA) for the Discovery of Autoantibodies in Osteoarthritis. Methods in molecular biology. 2344. 181–190. 1 indexed citations
5.
Lourido, L., Cristina Ruíz‐Romero, C. Fernández-López, et al.. (2020). Association of serum anti-centromere protein F antibodies with clinical response to infliximab in patients with rheumatoid arthritis: A prospective study. Seminars in Arthritis and Rheumatism. 50(5). 1101–1108. 10 indexed citations
6.
Fernández‐Puente, Patricia, V. Calamia, L. Lourido, et al.. (2019). Analysis of Endogenous Peptides Released from Osteoarthritic Cartilage Unravels Novel Pathogenic Markers*[S]. Molecular & Cellular Proteomics. 18(10). 2018–2028. 18 indexed citations
8.
Sierra-Sánchez, Álvaro, Diego Garrido-Martín, L. Lourido, et al.. (2017). Screening and Validation of Novel Biomarkers in Osteoarticular Pathologies by Comprehensive Combination of Protein Array Technologies. Journal of Proteome Research. 16(5). 1890–1899. 21 indexed citations
9.
Lourido, L., Burcu Ayoglu, Juan Fernández‐Tajes, et al.. (2017). Discovery of circulating proteins associated to knee radiographic osteoarthritis. Scientific Reports. 7(1). 137–137. 33 indexed citations
10.
Fernández‐Puente, Patricia, V. Calamia, L. Lourido, et al.. (2016). Analysis of the biomarker value of Haptoglobin and Von Willebrand factor for knee osteoarthritis using a targeted mass spectrometry approach in serum. Osteoarthritis and Cartilage. 24. S458–S458. 1 indexed citations
11.
Fernández‐Puente, Patricia, V. Calamia, L. Lourido, et al.. (2016). Multiplexed mass spectrometry monitoring of biomarker candidates for osteoarthritis. Journal of Proteomics. 152. 216–225. 26 indexed citations
12.
Lourido, L., Burcu Ayoglu, Juan Fernández‐Tajes, et al.. (2016). Identification of a serum protein biomarker panel for the diagnosis of knee osteoarthritis. Osteoarthritis and Cartilage. 24. S23–S23. 1 indexed citations
13.
Fernández-Costa, Carolina, V. Calamia, Patricia Fernández‐Puente, et al.. (2014). The three chains of haptoglobin as potential diagnostic markers of osteoarthritis disease. Osteoarthritis and Cartilage. 22. S72–S72. 1 indexed citations
14.
Calamia, V., Jesús Mateos, Patricia Fernández‐Puente, et al.. (2014). A pharmacoproteomic study confirms the synergistic effect of chondroitin sulfate and glucosamine. Scientific Reports. 4(1). 5069–5069. 33 indexed citations
15.
Lourido, L., Juan Fernández‐Tajes, V. Calamia, et al.. (2014). Identification of autoantibodies in serum from osteoarthritis patients using microarrays. Osteoarthritis and Cartilage. 22. S425–S425. 2 indexed citations
16.
Lourido, L., V. Calamia, Jesús Mateos, et al.. (2014). Quantitative Proteomic Profiling of Human Articular Cartilage Degradation in Osteoarthritis. Journal of Proteome Research. 13(12). 6096–6106. 65 indexed citations
17.
Calamia, V., Jesús Mateos, Patricia Fernández‐Puente, et al.. (2013). Anti-angiogenic action of chondroitin sulfate: a novel target for osteoarthritis therapy. Osteoarthritis and Cartilage. 21. S271–S271. 1 indexed citations
18.
Lourido, L., V. Calamia, Patricia Fernández‐Puente, et al.. (2012). Quantitative analyis of the effect of nicotine in the human articular chondrocyte secretome. Osteoarthritis and Cartilage. 20. S263–S263. 1 indexed citations
19.
Mateos, Jesús, L. Lourido, Patricia Fernández‐Puente, et al.. (2012). Differential protein profiling of synovial fluid from rheumatoid arthritis and osteoarthritis patients using LC–MALDI TOF/TOF. Journal of Proteomics. 75(10). 2869–2878. 101 indexed citations
20.
Calamia, V., Patricia Fernández‐Puente, Jesús Mateos, et al.. (2011). Pharmacoproteomic Study of Three Different Chondroitin Sulfate Compounds on Intracellular and Extracellular Human Chondrocyte Proteomes. Molecular & Cellular Proteomics. 11(6). M111.013417–M111.013417. 40 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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